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samples_flows_chat_chatwithpdf_chatwithpdfazure #935

samples_flows_chat_chatwithpdf_chatwithpdfazure

samples_flows_chat_chatwithpdf_chatwithpdfazure #935

# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: samples_flows_chat_chatwithpdf_chatwithpdfazure
on:
schedule:
- cron: "44 20 * * *" # Every day starting at 4:44 BJT
pull_request:
branches: [ main ]
paths: [ examples/flows/chat/chat-with-pdf/**, examples/*requirements.txt, .github/workflows/samples_flows_chat_chatwithpdf_chatwithpdfazure.yml ]
workflow_dispatch:
env:
IS_IN_CI_PIPELINE: "true"
permissions:
id-token: write
contents: read
jobs:
samples_flows_chat_chatwithpdf_chatwithpdfazure:
runs-on: ubuntu-latest
environment:
internal
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Generate config.json for canary workspace (scheduled runs only)
if: github.event_name == 'schedule'
run: echo '${{ secrets.TEST_WORKSPACE_CONFIG_JSON_CANARY }}' > ${{ github.workspace }}/examples/config.json
- name: Generate config.json for production workspace
if: github.event_name != 'schedule'
run: echo '${{ secrets.EXAMPLE_WORKSPACE_CONFIG_JSON_PROD }}' > ${{ github.workspace }}/examples/config.json
- name: Setup Python 3.9 environment
uses: actions/setup-python@v4
with:
python-version: "3.9"
- name: Prepare requirements
run: |
python -m pip install --upgrade pip
pip install -r ${{ github.workspace }}/examples/requirements.txt
pip install -r ${{ github.workspace }}/examples/dev_requirements.txt
pip freeze
pf --version
shell: bash -el {0}
- name: Prepare sample requirements
working-directory: examples/flows/chat/chat-with-pdf
run: |
pip install -r requirements.txt
- name: Create Chat With PDF Custom Connection
working-directory: examples/flows/chat/chat-with-pdf
run: |
AOAI_API_KEY=${{ secrets.AOAI_API_KEY_TEST }}
AOAI_API_ENDPOINT=${{ secrets.AOAI_API_ENDPOINT_TEST }}
AOAI_API_ENDPOINT=$(echo ${AOAI_API_ENDPOINT//\//\\/})
if [[ -e .env.example ]]; then
echo "env replacement"
sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" .env.example
mv .env.example .env
pf connection create --file .env --name chat_with_pdf_custom_connection
fi
- name: Create AOAI Connection
working-directory: examples/connections
run: |
AOAI_API_KEY=${{ secrets.AOAI_API_KEY_TEST }}
AOAI_API_ENDPOINT=${{ secrets.AOAI_API_ENDPOINT_TEST }}
if [[ -e azure_openai.yml ]]; then
pf connection create --file azure_openai.yml --set api_key=$AOAI_API_KEY api_base=$AOAI_API_ENDPOINT
fi
- name: Random Wait
uses: AliSajid/random-wait-action@main
with:
minimum: 1
maximum: 300
- name: Azure Login
uses: azure/login@v2
with:
subscription-id: ${{secrets.AZURE_SUBSCRIPTION_ID}}
tenant-id: ${{secrets.AZURE_TENANT_ID}}
client-id: ${{secrets.AZURE_CLIENT_ID}}
- name: Fetch OID token every 4 mins
shell: bash
run: |
while true; do
token_request=$ACTIONS_ID_TOKEN_REQUEST_TOKEN
token_uri=$ACTIONS_ID_TOKEN_REQUEST_URL
token=$(curl -H "Authorization: bearer $token_request" "${token_uri}&audience=api://AzureADTokenExchange" | jq .value -r)
az login --service-principal -u ${{secrets.AZURE_CLIENT_ID}} -t ${{secrets.AZURE_TENANT_ID}} --federated-token $token --output none
# Sleep for 4 minutes
sleep 240
done &
- name: Test Notebook
working-directory: examples/flows/chat/chat-with-pdf
run: |
papermill -k python chat-with-pdf-azure.ipynb chat-with-pdf-azure.output.ipynb
- name: Upload artifact
if: ${{ always() }}
uses: actions/upload-artifact@v3
with:
name: artifact
path: examples/flows/chat/chat-with-pdf